Instructions to use capleaf/viXTTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use capleaf/viXTTS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="capleaf/viXTTS")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("capleaf/viXTTS", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1e334002dd117adc02a184d763dff13aeeff4c70a7e30c5a592ecc5b3ca981d
- Size of remote file:
- 1.88 GB
- SHA256:
- 534670e4b752002b7d7224e6ea1f467bd608c8dd3c36efaa45e1f4696e8bd1d2
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